A non-iterative SPECT reconstruction method is presented which consist
s of pre-processing the projection data for compensation of scatter, a
ttenuation and the detector response prior to ramp filtered backprojec
tion. Scatter is compensated for using the dual-photopeak window (DPW)
method, attenuation is compensated for using Bellini's method, and co
mpensation for the nonstationary detector response and noise suppressi
on is performed with a frequency distance principle (FDP) Wiener filte
r. This approach was compared to a number of different processing meth
ods using a Monte Carlo simulation study of an anthropomorphic digitiz
ed phantom of the liver and spleen. The DPW/FDP Wiener filtering metho
d was shown to provide accurate quantitation of the liver as well as a
n increase in the ratio of tumor contrast to background noise as compa
red to Butterworth smoothing.